Exploring Generative AI Use Cases Across Payment Providers
Matias Undurraga Breitling
Enterprise Technologist @ AWS | Transformation, Strategic Tech Planning
I've put together a list of the features from my experience that I expect to see in the future...!! I really think we can remove those usual blockers to migrate from one payment provider to another and accelerate time to market...
1. Payment SDK Integration
Integrating payment SDKs has traditionally been a time consuming process, requiring technical expertise and manual configuration. Imagine you could have access to a code assistant agent where you can paste your checkout code and the agent returns the new checkout code with the integration already performed. This AI code assistants would guide you through a "seamless integration" or replacement of your current payment solutions in a few minutes...
2. Workflow Automation
Routine, repetitive processes should be something from the past! I mean think about dispute resolution to debt collection, this process should be automated with GenAI powered agents. Payment reconciliation and downtime notifications, previously requiring human oversight, should be setup to be managed autonomously.
3. Operation Efficiency in Customer service
Operational efficiency is critical for any payment provider, and GenAI offers transformative solutions:
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4. Agentic AI for Automation
The concept of agentic AI, where semi-autonomous agents execute complex tasks, is becoming a reality...Imagine agents that:
This is no longer a "distant wish", Stripe’s Agent Toolkit (GitHub Repository) is paving the way for autonomous systems capable of managing transactions securely...
So, whether you’re in payments, retail, or travel, the potential applications of Generative AI are pretty amazing and evolving every year, I would have not imagine that we would be already talking about agents and autonomy...
How is your organization leveraging Generative AI? Share your insights and experiences in the comments below!